Author : Miss. Prachiti Khilari and Prof. Vikas Mapari

Data evaluation plays a noteworthy function in managing a massive quantity of facts within the healthcare. The previous scientific researches based on handle and assimilate a big quantity of hospital records rather than prediction. Due to a significant amount of information boom inside the biomedical and healthcare area the correct analysis of scientific statistics turns into propitious for in advance detection of disorder and patient care. With the event of society and economy, people pay more attention to their own health. The demand of more personalized health service is gradually rising. However, due to the shortage of experienced doctors and physicians, most healthcare organizations cannot meet the medical demand of public. Due to that public want the Medical Treatment online with accuracy. Now a day’s, public has no time to urge the doctor physically, then search the web hospital near about the present location. With the widespread use of hospital data system , there’s huge amount of generated data which may be wont to improve healthcare service. Thus, more and more data processing applications are developed to supply people more customized healthcare service. In EHRs, users may be a health data owner (i.e., patients) or a requester (i.e., doctors or pharmacists), servers, in turn could be local or cloud servers that store, process and analyze the gathered health data. Networks, on the other hand, act as the bridge connecting between patients and the medical staff to support the transmitting and sharing of data. So, it is necessary to ensure patients feel fully confident to use the system and have their own privacy control over it. To this end, in this paper, we conduct an in-depth survey study to analyze the healthcare system’s security and privacy threats.In the proposed paper we use different algorithm to extend the safety of sensitive information of hospital management includes doctors, patients then on.We also propose a novel security model that captures the scenario of data interoperability and supports the security fundamental of EHR along with the capability of providing finegrained access control.

Keywords: Disease diagnosing, Security, Data Mining, Biomedical and Healthcare, Hospital organization.